Technological learning and labor market dynamics

Martin Gervais, Nir Jaimovich*, Henry E. Siu, Yaniv Yedid-Levi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The search-and-matching model of the labor market fails to match two important business cycle facts: (i) a high volatility of unemployment relative to labor productivity, and (ii) a mild correlation between these two variables. We address these shortcomings by focusing on technological learning-by-doing: the notion that it takes workers' time using a technology before reaching their full productive potential with it. We consider a novel source of business cycles, namely, fluctuations in the speed of technological learning, and show that a search-and-matching model featuring such shocks can account for both facts. Moreover, our model provides a new interpretation of recently discussed "news shocks.

Original languageEnglish
Pages (from-to)27-53
Number of pages27
JournalInternational Economic Review
Volume56
Issue number1
DOIs
StatePublished - 1 Feb 2015
Externally publishedYes

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